/3DCNN_Lipreading

还没有完成代码上传 Official PyTorch Implementation for "Learning Spatio-Temporal Features with Two-Stream Deep 3D CNNs for Lipreading"

Learning Spatio-Temporal Features with Two-Stream Deep 3D CNNs for Lipreading

This repository contains the official PyTorch implementation for "Learning Spatio-Temporal Features with Two-Stream Deep 3D CNNs for Lipreading". This paper has been accepted by British Machine Vision Conference (BMVC) 2019. If you find the paper or the code useful, please cite our paper:

@article{Weng2019_lipreading,
archivePrefix = {arXiv},
arxivId = {1905.02540},
author = {Weng, Xinshuo and Kitani, Kris},
eprint = {1905.02540},
journal = {BMVC},
title = {{Learning Spatio-Temporal Features with Two-Stream Deep 3D CNNs for Lipreading}},
url = {https://bmvc2019.org/wp-content/uploads/papers/0016-paper.pdf},
year = {2019}
}

News

2019/09/15, we are trying to release the code soon.